A quantitative method to evaluate the performance of topographic correction models used to improve land cover identification

Sung Hwan Park, Hyung Sup Jung, Jaewon Choi, Seongwoo Jeon

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)

Abstract

Topographic correction methods have been widely used prior to land cover identification in sloping terrain because the topographic variation on the Earth's surface can interfere with the classifications. The topographic correction involves the normalization of brightness or surface reflectance values from the slanted to the horizontal plane. Several topographic correction models have been proposed, and a quantitative evaluation method is needed for these models because the performance can vary according to the surface cover types and spectral bands. In this study, we proposed an efficient method to evaluate the performance of topographic correction models through measuring the histogram structural similarity (HSSIM) index estimated from the sunlit and sun-shaded slope areas before and after the correction. We tested the HSSIM index by using three different land cover types derived from Landsat-8 Operational Land Imager (OLI) images and eight commonly used topographic correction models. When the proposed HSSIM index was compared with the visual analysis technique, the results matched exactly. Using the HSSIM index, the best correction methods were then determined, and the best ones included the statistical-empirical or SCS+C methods (where SCS+C refers to the sun-canopy-sensor plus C-correction) for the R, G, and B bands and the Minnaert+SCS method for the NIR, SWIR-1, and SWIR-2 bands. These results indicate that (i) the HSSIM index enables quantitative performance evaluations of topographic correction models and (ii) the HSSIM index can be used to determine the best topographic correction method for particular land cover identification applications.

Original languageEnglish
Pages (from-to)1488-1503
Number of pages16
JournalAdvances in Space Research
Volume60
Issue number7
DOIs
Publication statusPublished - 2017 Oct 1

Bibliographical note

Funding Information:
This work was supported by the Research and development for KMA Weather, Climate and Earth system Services (NIMS-2016-3100), funded by Earthquake and Volcano Research Division, Earthquake and Volcano Center and in part by Public Technology Development Project based on Environmental Policy ( 2016000210001 ) provided by Korea Environmental Industry and Technology Institute .

Publisher Copyright:
© 2017 COSPAR

Keywords

  • Land cover identification
  • Performance assessment
  • Topographic correction models

ASJC Scopus subject areas

  • Aerospace Engineering
  • Astronomy and Astrophysics
  • Geophysics
  • Atmospheric Science
  • Space and Planetary Science
  • General Earth and Planetary Sciences

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